监督学习课程可以帮助您学习 Regression 分析、分类技术和模型评估方法。您可以掌握 Feature Selection、Hyperparameter 调整和理解偏差-方差权衡等方面的技能。许多课程都会介绍 Scikit-learn 和 TensorFlow 等 Python 库等工具,这些工具支持算法的实施和数据分析。

您将获得的技能: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning
中级 · 指导项目 · 不超过 2 小时

University of Colorado Boulder
您将获得的技能: Scikit Learn (Machine Learning Library), Data Preprocessing
中级 · 课程 · 1-3 个月

MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
初级 · 专项课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 数据管道, 调试, 持续监测, 持续部署, 数据质量, 机器学习, 数据预处理, MLOps(机器学习 Operator), 模型部署, Model Evaluation, 功能工程, 应用机器学习, 云部署, Data Validation
中级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月

您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
初级 · 专项课程 · 1-3 个月

University of Washington
您将获得的技能: 回归分析, 统计建模, 计算机视觉, 无监督学习, 分类算法, 人工智能, 统计机器学习, 监督学习, 深度学习, 逻辑回归, 贝叶斯统计, 数据预处理, 机器学习, 预测建模, 决策树学习, 应用机器学习, 功能工程, 数据挖掘, 图像分析, Model Evaluation
中级 · 专项课程 · 3-6 个月

Imperial College London
您将获得的技能: 回归分析, 线性代数, Python 程序设计, 机器学习算法, 无监督学习, 人工神经网络, Algorithm, 统计, 数据预处理, 数学建模, 衍生产品, 微积分, 功能工程, 应用数学, NumPy, Jupyter, 降维, 高等数学
初级 · 专项课程 · 3-6 个月

您将获得的技能: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
混合 · 课程 · 1-4 周

Coursera
您将获得的技能: Data Pipelines, MLOps (Machine Learning Operations), Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Model Evaluation, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Predictive Modeling, Software Engineering, Applied Machine Learning, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
中级 · 专项课程 · 1-3 个月